{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f2cf7ca7",
   "metadata": {},
   "source": [
    "# 为绘图创建标签\n",
    "使用 Pyplot，您可以使用 xlabel() 和 ylabel() 函数为 x 轴和 y 轴设置标签。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c886dece",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "14a72b2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])\n",
    "y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])\n",
    "\n",
    "plt.plot(x, y)\n",
    "\n",
    "plt.xlabel(\"Average Pulse\")\n",
    "plt.ylabel(\"Calorie Burnage\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57fda040",
   "metadata": {},
   "source": [
    "# 为绘图创建标题\n",
    "使用 Pyplot，您可以使用 title() 函数为绘图设置标题。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "64f053f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])\n",
    "y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])\n",
    "\n",
    "plt.plot(x, y)\n",
    "\n",
    "plt.title(\"Sports Watch Data\")\n",
    "plt.xlabel(\"Average Pulse\")\n",
    "plt.ylabel(\"Calorie Burnage\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13cf0d33",
   "metadata": {},
   "source": [
    "# 设置标题和标签的字体属性\n",
    "使用 xlabel()、ylabel() 和 title() 中的 fontdict 参数来设置标题和标签的字体属性。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b552b866",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ggrfcTyJSW0SaqOqmWMVsjDGhqCof/rKOx2csISsnj5FndOHa41rHvSBfpMV0TEJEygPzgfbAK6o6129aReBK4E6vqRmwzm/x9V7bIUlCRIYBwwBatmwZtdiNMSbf2h3pjJiczA8rd9CvTV2euqAHretXj3dYURHTJKGquUBPEakNTBGRbqq60Jv8KvCtqs4p5DrHAeMAkpKSNJLxGmOMv9w85e3vV+F8sYwK5crxxHnduaRPi2JVkC/S4nJ2k6ruFpFZwGBgoYg8AjQAbvKbbQPQwu99c6/NGGNibvkWtyDf7+t2c3Lnhjx+XjeaJBS/gnyRFsuzmxoA2V6CqAqcCjwlIjcApwODVDXPb5FpwO0i8gHugPUeG48wxsRaVk4er32zkn/MWkHNKhV58ZKenHNU02JbkC/SYnkk0QQY741LlAP+q6rTRSQHWAP86O30yar6KDAD9/TXVNxTYK+NYazGGMOCdbsZPimZpZv3MbRnU/5+ViL1inlBvkiL5dlNycDRQdqDxuCd1XRbtOMyxphAB7NyeX7mcv41J42GNavwr6uSOCWxUbzDigu74toYY/z8uHIHIyYns2ZHOpf1a8mIIZ2pVaXkFOSLNEsSxhgD7M3I5skZS3n/57W0qleN/9zYj2PblbyCfJFmScIYU+Z9tWQLI6csZOu+DIYNaMvdp3SkaqWSX1IjEixJGGPKrB37Mxn9yWKmLdhIp0Y1ef3K3vRsUTveYRUrliSMMWWOqjJtwUZGf7KYfRnZ3H1KR24Z2I5KFUpXSY1IsCRhjClTNu05yENTFvLV0q30bFGbpy/sQcdGNeMdVrFlScIYUybk5Skf/LKOJ2csITsvj4fO7MK1x7WhfCkuqREJliSMMaXe6u0HGDE5mZ/SdnJsu3qMPb8HLetVi3dYJYIlCWNMqZWTm8db36/i2S+WU6l8Ocae352L+7QoMyU1IsGShDGmVFq6eS/DJyazYP0eTunSiMfO7UbjhCrxDqvEsSRhjClVMnNyeWXWSl6dlUpC1Yq8fOnRnNWjiR09FFHYScIRqYF7m9F6PtXHHZETgWSf6q6oRWeMMYXw29pdDJ+UzPIt+znv6GY8fFYidatXindYJVpYJwU7Iu2BFbg3BsqvxtoXmOeIdIlSbMYYE5b0rBzGTF/M+a/9wL6MHN66JonnL+5pCSICwr1y5FnAAWrg3VLUp/oMcCnwVHRCM8aYw/shdTuDX5jDm9+t4vJ+Lfni7gGc3LlsVmyNhnC7mxJ8qs8COCJ/3CLUp/qz495AyBhjYmrPwWyenLGED35ZR5v61flw2DH0a1sv3mGVOuEmCf9EEDj60zRCsRhjTFi+XLyFh6amsG1fJjed6Bbkq1LRCvJFQ7hJYrsjchfwIqAAjkgtYAzuneOMMSbqtu/PZNS0RUxP3kTnxjV546okejSvHe+wSrVwk4QP+BYYDZRzRFbj3o50F3BCdEIzxhiXqjL19w2M/mQx6Zm53HtqR24e2I6K5a0gX7SFlSR8qkscke7A7fx5C9IJwCs+1S3RCs4YYzbuPsjIKSnMWraNXi1r89QFPehgBfliJqwk4YhU9qluBh6KcjzGGAO4Bfne+3ktT322lNw85ZGzE7mqf2sryBdj4XY3fQacHM1AjDEmX9q2/YyYlMLPq3dyfPv6PHl+d1rUtYJ88RBukjjaEfk6xLRsIA14y6f6S2TCMsaURTm5efzru1U8/+VyKlcox9MX9uCi3s2tpEYchTvqMwM4DqgMbPQelYEkYCvQDpjtiAyJRpDGmNJv8ca9nPvq94z9bCkDOzVg5j0n8n9JVrE13sI9ktgJnOZTne3f6IgMAE73qV7piPQGXsDtmjLGmLBk5uTyj69Tee2bldSuVonXLu/FkO5N4h2W8YR7JJEYmCAAfKrfAn281/PxrqEwxphwzF+zkzNenMPLX6cytGczZt4zwBJEMRPukUQ7R6SqT/Wgf6MjUh3o6NeUF7HIjDGl1oHMHJ75fBnjf1xN04SqjL+uLyd2bBDvsEwQ4SaJH4BvHZFXgJVeW3vgVuB7x+00vLoQ6zPGlFFzVmzjgckprN91kKv7t+K+wZ2pUdm+OoqrcH8ytwBveY/8LiUBJnnT6gInAs9FOkBjTOmwJz2bxz5dzEfz19O2QXU+urk/fVrXjXdY5jDCveJ6D3CBI9IOSPSaF/lU0/xmu/avSxpjDPxv4SYe/ngROw9kcevAdtwxqIMV5CshCnWM51NdyZ/dTQA4Ihf5VD+KaFTGmFJh674MHvl4EZ8t3Exik1q8fU0fujVLiHdYphAKlSS8I4mmHFou/AHAkoQx5g+qyqRfNzBm+mIOZudy3+mdGDagrRXkK4HCrd3UCvgY6IE7JpGfJOyUV2PMIdbtTOfBKSnMWbGdpFZ1GHtBD9o3rBHvsEwRhXsk8SwwDbgYeAe4BPeK60sB61g0xpCXp0z4cTVPf74MAR4d2pUr+rWinBXkK9HCTRJNfKoXAjgiB32qa7z20Y7I5OiEZowpKVK37mfEpGTmrdnFgI4NeOK8bjSvYwX5SoNwk0SG3+tKjkg5n2r+hXOtIhyTMaaEyM7NY9y3abw4cwVVK5Xn2YuO4vxezazeUikSbpKo4oic5lP9AlgLvOSIfAAMBsL6d0FEquDe3a6yt92JqvqIiLQBPgDqAfOBK1U1S0Qq497YqDewA7hYVVeH/9GMMdG0cMMe7p+YzOJNezmzexNGndOVBjUrxzssE2HhJok3gAcckaXAM8A3uBfR5eJeaR2OTOBkVd0vIhWB70TkM+Ae4HlV/UBEXgeuB17znnepansRuQR4CndMxBgTRxnZubz41QrGfZtG3eqVeP2K3gzu1jjeYZkoCfdiundwB6wB1joiXYG+uBfULQtnHaqqwH7vbUXvobg3M7rMax8PjMJNEkO91wATgX+IiHjrMcbEwS+rdzJ8YjJp2w/wf0nNGXlGIgnVKsY7LBNFRSqY4lNdD6yHwl1MJyLlcbuU2gP5daB2q2qON8t6oJn3uhmwDkBVc0RkD26X1PaAdQ4DhgG0bNmyKB/HGHMY+zNzePp/S5nw4xqa16nKu9f34/gO9eMdlomBsJOEI1IV98u9NkW8mE5Vc4GeIlIbmAJ0Dnf7BaxzHDAOICkpyY4yjImwb5ZtZeSUhWzcc5DrjmvDvad1pLoV5Cszwr2Y7jzc4n61ODRBQBEuqFPV3SIyC+gP1BaRCt7RRHNggzfbBqAFsF5EKgAJuAPYxpgY2HUgizGfLmbyrxto37AGE28+lt6t6sQ7LBNj4f47MBZ4HPgS2MOhlWDfD2cFItIAyPYSRFXgVNzB6FnAhbhnOF2Ne2U3uBfvXQ386E3/2sYjjIk+VWVGymYembaQ3enZ3HFye247uT2VK9h1s2VRuEliq0/VCTbBEbkjzHU0AcZ74xLlgP+q6nQRWQx8ICKPAb8Bb3rzvwn8W0RScW+fekmY2zHGFNHWvRk8NHUhXyzeQvdmCUy4rh+JTWvFOywTR+EmiaWOSIJXMjxQL+CXw61AVZOBo4O0p+GeKRXYngFcFGZ8xpgjoKp8NG89Yz5dTFZOHg8M6cz1x7ehghXkK/PCTRKLga8ckam4YwW5ftPuBP4Z4biMMTGybmc6D0xO4bvU7fRtU5ex53enbQMryGdchSnwB+5RQyAbJzCmBMrNU8b/sJpnPl9G+XLCY+d247K+La0gnzlEuElitk/1pGATHPcsJWNMCbJiyz6GT0rm17W7GdipAU+c152mtavGOyxTDIWbJO5zRGr6VPcFmXZrJAMyxkRPdm4er3+zkpe/TqV65fK8cHFPhvZsagX5TEjhJomfge+BEwIn+FSXRDQiY0xUpKzfw30TF7B08z7OPqopj5ydSP0aVpDPFCzcJJHsU/1LgjDGFH8Z2bk8P3M5b3ybRoOalXnjqiROTWwU77BMCRHu+W1pTojjUUfkkQjGY4yJoJ/SdjD4hW/55+w0Lu7Tgi/uPtEShCmUcI8kxgPvOCJv4hbd8z8F9nRgdKQDM8YU3b6MbMZ+tpT35q6lZd1q/OeGfhzb3grymcILN0lM8Z6vCGgX7BRYY4qVWUu38uCUFLbszeCG49twz2kdqVbJCvKZogn3N2cBcFeQdgGej1g0xpgi23kgi0c/WcTU3zfSoWENXr3lWI5uaQX5zJEJN0m86lOdHWyCI/J0BOMxxhSSqjI9eROjpi1iz8Fs7hzUgVtPamcF+UxEhHtnujcKmLwiQrEYYwppy94MRk5ZyMwlWziqeQLv3diPzo2tIJ+JnEh0VD6NewtSY0yMqCof/rKOx2csITs3j5FndOG649tQ3kpqmAgL96ZDedgAtTHFwpodB3hgcgo/rNzBMW3rMvb8HrSuXz3eYZlSKtwjiWW4Nx7yX64lcA4wIdJBGWP+KjdPefv7VThfLKNiuXI8cV53LunTwgrymagKN0m86FMdH9joiLwIPBPZkIwxgZZtdgvy/b5uN4M6N+Sx87rRJMEK8pnoC3fg+vUQ7TsdkQ6RDckYky8rJ49Xv0nllVmp1KxSkRcv6ck5R1lBPhM74Y5JtAzSXAsYCDSMZEDGGNeCdbu5f2Iyy7bsY2jPpvz9rETqWUE+E2Phdjet5q8D1wLsAa6PZEDGlHUHs3J57stlvPndKhrWrMKbVycxqIvVWzLxUdQrrhU3QazwqaZHOihjyqofVm7ngckprNmRzmX9WjJiSGdqVakY77BMGRZukng61BXXxpgjtzcjmydnLOX9n9fSql413r/xGPq3qxfvsIwJe+D6ff/3jkg73DGJBT7VvGgEZkxZMXPxFkZOTWHbvkyGDWjL3ad0pGolK6lhiocCk4QjcgpwGpAHvONTXeqIvANc6c2S5ogM8qmujW6YxpQ+O/ZnMvqTxUxbsJHOjWsy7sokjmpRO95hGXOIkEnCEbke8K/ZdLMjcgdwPDAC954SVwCPAtdEMUZjShVVZdqCjYyatoj9mTncc2pHbj6xHZUqhHsPMGNip6AjibuB+3ETRQVgJO5V1wN8qqkAjsjbwHfRDtKY0mLTnoM8NGUhXy3dSs8WtXn6wh50bFQz3mEZE1KB3U0+VSf/tSNyH3BRfoLwpu9yRPZEMT5jSoW8POX9X9by5Iyl5OYpD5+VyDXHtraCfKbYKyhJbPd/41PNdURWBpkvM7IhGVO6rNp+gBGTkpm7aifHta/Hk+f1oGW9avEOy5iwFJQkgp21FKzNqsMaE0RObh5vfb+KZ79YTqUK5Xjqgu78X1ILK6lhSpSCkkR/RyQtoK1xsLYIx2RMibdk016GT0omef0eTk1sxGPndqNRrSrxDsuYQisoSewGDncBneCeImuMATJzcnll1kpenZVKQtWK/OOyozmzexM7ejAlVkFJYqlP9drDrcARmRXBeIwpsX5du4vhE5NZsXU/5x/djIfPSqRO9UrxDsuYI1JQkhgU5jrCnc+YUik9Kwfn8+W8/cMqmtSqwtvX9uGkTlYc2ZQOIZNEuOU2rCyHKcu+T93OiMnJrNt5kCuPacX9gztR0wrymVIk3AJ/xhg/ew5m88SnS/hw3jra1K/Oh8OOoV9bK8hnSh9LEsYU0heLNvPQ1IXsOJDFzSe2465TOlClohXkM6VTzJKEiLQAJgCNcK+tGKeqL4pIT+B1oAqQA9yqqj+LezrIi8AZQDpwjar+Gqt4jQm0bV8moz5ZxKfJm+jSpBZvXt2H7s0T4h2WMVEVyyOJHOBeVf1VRGoC80XkS+BpYLSqfiYiZ3jvBwJDgA7eox/wmvdsTEypKlN+28Cj0xeTnpnLfad3YtiAtlQsbwX5TOkXdpJwRGrgVn2t51N93BE5EUj2qe4KZ3lV3QRs8l7vE5ElQDPco4pa3mwJwEbv9VBggqoq8JOI1BaRJt56jImJDbsPMnJKCt8s20avlm5BvvYNrSCfKTvCShKOSHtgDm5XURrwONAXeMsROcunuqQwGxWR1sDRwFzc26J+LiIOUA441putGbDOb7H1XtshSUJEhgHDAFq2bFmYMIwJKS9PeW/uGsZ+tpQ8hUfOTuSq/laQz5Q94R4vPws4QA28L26f6jPApcBThdmguEckk4C7VHUvcAtwt6q2wC1P/mZh1qeq41Q1SVWTGjRoUJhFjQkqbdt+Lhn3Ew9/vIhererwxd0DuPa4NpYgTJkUbndTgk/1WQBH5I+Cfj7Vnx2RquFuTEQq4iaI91R1std8NXCn9/oj4F/e6w1AC7/Fm3ttxkRFTm4eb8xZxfMzl1OlQjmeubAHF/ZubiU1TJkWbpLwTwSBfzFNw1mBd7bSm8ASVX3Ob9JG4ETgG+BkYIXXPg24XUQ+wB2w3mPjESZaFm3cw/BJySzcsJfBXRvz6NCuNLSCfMaEnSS2OyJ34Z6SqgCOSC1gDJBawHL+jsO9N3aKiPzutT0I3Ai8KCIVgAy88QVgBu7pr6m4p8Aeto6UMYWVkZ3Ly1+v4PXZadSpVonXLu/FkO5N4h2WMcVGuEnCB3wLjAbKOSKrgSbALuCEcFagqt/x16OQfL2DzK/AbWHGZ0yhzV+zk/snJrNy2wEu6NWch8/qQu1qVpDPGH9hJQmf6hJHpDtwO+5ZSeBeGPeKT3VLtIIzJhoOZObwzOfLGP/japomVGX8dX05saOd9GBMMGFfJ+FT3Qw8FNjuiDT3qa6PaFTGRMm3y7fxwOQUNu45yFXHtOK+wZ2pUdmq0xgTSiT+OibgDjgbU2ztTs/isU+XMHH+eto2qM5/b+pPn9Z14x2WMcVeyCThiDwHrPapvhTklqX+7Palplj7LGUTD3+8iF3pWdw6sB13DLKCfMaEq6AjiRZAtvdagHeCzCPAVRGOyZiI2Lovg0c+XsRnCzeT2KQW71zbh27NrCCfMYVR0E2HLvJ7O8OnOjrYfI6IjfiZYkVVmTh/PY99uoSD2bncP7gTN55gBfmMKYpwxySyHJHHfaojAyf4VO00VVNsrNuZzoNTUpizYjt9Wtdh7AU9aNegRrzDMqbECjdJXA9cFs1AjDkSeXnKhB9X8/TnyxDg0aFduaJfK8pZvSVjjki4SeIHn+r0YBMckVY+1TURjMmYQknduo/hk1KYv2YXAzo24InzutG8TrV4h2VMqRBuJ+1cR6RPiGlvRyoYYwojOzePV2alcsaL35G6dT/PXnQU46/tYwnCmAgK90iiFfC5I7IAWAvk+k3rHPGojDmMhRv2cP/EZBZv2ssZ3Rsz+pxuNKhZOd5hGVPqhJskhgK/e68D7+xjpTJNzGRk5/LiVysY920adatX4vUrejG4mxXkMyZawk0Sv/tUTwo2wRH5PILxGBPSz6t2MmJSMmnbD3BR7+Y8dGYiCdUqxjssY0q1cJPEaaEm+FRPj1AsxgS1PzOHpz5byr9/WkPzOlX59/V9OaGDXZ5jTCyEWwU22xGpjHu70vyy3vOAD3yqmdEKzphZy7YycnIKm/ZmcO1xrfGd1onqVpDPmJgJ66/NEWkMzAI6AXleczlguCNyslch1piI2XUgizHTFzP5tw20b1iDiTcfS+9WdeIdljFlTrj/kj0H/II7gJ1/J7oOuKXDn8MutDMRoqrMSNnMI9MWsjs9m9tPas/fBrWncgUryGdMPISbJLr6VI8KaFvmiFzNn2c9GXNEtu7N4KGpC/li8Ra6N0tgwnX9SGxaK95hGVOmhV27KVijTzXPEbExCXNEVJWP5q1nzKeLycrJY8SQztxwfBsqWEE+Y+Iu3CSx3xG5zqf6ln+jI3I9sD/yYZmyYt3OdB6YnMJ3qdvp26YuY8/vTlsryGdMsRFukhgJzHRERnHomEQd7K50pghy85TxP6zmmc+XUb6c8Ni53bisb0sryGdMMRPuKbA/OCLHAPcDR3vNs4CnfKqLohWcKZ1WbNnH/ZOS+W3tbgZ2asAT53Wnae2q8Q7LGBNE2Cec+1STgSuiGIsp5bJy8nh99kr+8XUq1SuX54WLezK0Z1NE7OjBmOLqiK9KckQm+lQvjEQwpvRKXr+b+ycms3TzPs4+qimPnJ1I/RpWkM+Y4i5kknBE3go1LcCxEYrFlEIZ2bk8/+Vy3piTRoOalXnjqiROTWwU77CMMWEq6EjiPMK7BsKqwJqgfkrbwYhJyazekc6lfVswYkgXEqpaQT5jSpKCkkTIyq/+HJFZEYzHlAL7MrIZ+9lS3pu7lpZ1q/GfG/pxbPv68Q7LGFMEBSWJIWGuY2gkAjGlw6ylW3lwSgpb9mZww/FtuOe0jlSrZAX5jCmpQv71+lQzwlzHVOxaiTJv54EsHv1kEVN/30jHRjV49fJjObqlFeQzpqQLtwqsAHfjjlM0BfzPWWwchbhMCaGqTE/exKhpi9ibkc2dgzpw20ntqVTBSmoYUxoU5orri4FPcO8p8Q5QCTgLtzqsKYO27M1g5JSFzFyyhaOaJ/DUhf3o3NgK8hlTmoSbJM4B+vtU9zsi/X2qowEckSeBcVGLzhRLqsqHv6zj8RlLyM7NY+QZXbju+DaUt5IaxpQ64SaJAz7V/EJ+fxT295JGvciHZYqrNTsOMGJSCj+m7eCYtnUZe34PWtevHu+wjDFREm7HcXVHpJr3OssROR7AEUkEukQlMlOs5OYp/5qTxukvfMvCDXt48vzuvH/jMZYgjCnlwj2SmAf87ogMBD4EZjkia4DmwPjohGaKi2Wb3YJ8C9bt5pQuDXns3O40TrBrKI0pC8I9krgPOBXY4lN9w3u/GHgGuDOcFYhICxGZJSKLRWSRiNzpN+1vIrLUa3/ar/0BEUkVkWUicnrYn8pERFZOHi/MXM5ZL89h3c50Xrr0aN64KskShDFliKhqbDYk0gRooqq/ikhNYD5wLtAI9+ypM1U1U0QaqupWcbuy3gf64p52OxPoqKq5obaRlJSk8+bNi/ZHKRMWrHML8i3bso+hPZvyyNldqVu9UrzDMsZEgYjMV9WkYNMKKvBXDTjFe/uLT3VTwPTLgPd9YWYZdZff5L3eJyJLgGbAjcBYVc30pm31FhkKfOC1rxKRVNyE8WM42zNFczArl+e+XMab362iYc0qvHl1EoO6WEE+Y8qqgrqbzsK9mnoM7n/7gV4Cpjsiha7YJiKtcW9eNBfoCJwgInNFZLaI9PFmawas81tsvdcWuK5hIjJPROZt27atsKEYPz+s3M7pL3zLG3NWcWnflnx5zwBLEMaUcQUNXA8FXvGp/i3E9FbAu7hjEk64GxSRGsAk4C5V3SsiFYC6wDFAH+C/ItI23PWp6ji8azWSkpJi03dWyuzNyObJGUt5/+e1tK5XjQ+GHcMxbe3MZmNMwUmiLXBDqIk+1QOOyPXAdMJMEuIedUwC3lPVyV7zemCyut1WP4tIHlAf2AC08Fu8uddmImjm4i2MnJrCtn2Z3DSgLXed0pGqlcoffkFjTJlQUHdTtk/1YEEL+1R3AlnhbEjc+k9vAktU9Tm/SVOBk7x5OuKW+9gOTAMuEZHKItIG6AD8HM62zOHt2J/JHe//xg0T5lGnWiWm3nYcD5zRxRKEMeYQBR1JZIe5jnC7eI4DrgRSROR3r+1B4C3gLRFZiJtwrvaOKhaJyH9xT7XNAW4r6MwmEx5VZdqCjYyatogDmbnce2pHbjqxnRXkM8YEVWCScESa+VRDdvE4Is0JM5mo6nccWj3W3xUhlnkceDyc9ZvD27j7IA9NXcjXS7dydMvaPH1BDzo0qhnvsIwxxVhBSWIcMMURucCnui5wopcgPgLGRis4Exl5ecr7v6zlyRlLyc1T/n5WIlcf29oK8hljDqugmw5N9spwrHBEZgMLgf1ADaAbcCLwsk/14xjEaYpo1fYDjJiUzNxVOzmufT2ePK8HLetVO/yCxhjDYWo3+VTvcETmAvcAd+F2FymwALjGp/pB1CM0RZKTm8db36/i2S+WU6lCOZ6+oAcXJTXHPX/AGGPCc9gCfz7V94D3vCuwawO7DnfWk4mvJZv2MnxSMsnr93BaYiPGnNuNRrWs3pIxpvDCvkO9TzUdSI9iLOYIZebk8srXqbz6zUpqV6vIK5f14ozuje3owRhTZGEnCVO8/bp2F8MnJrNi637O79WMh89MpI4V5DPGHCFLEiVcelYOzufLefuHVTSpVYW3r+3DSZ0axjssY0wpYUmiBPs+dTsjJiezbudBrurfivsHd6ZGZfuRGmMix75RSqA9B7N54tMlfDhvHW3rV+e/N/Wnb5u68Q7LGFMKWZIoYT5ftJmHpy5kx4EsbhnYjjsHdaBKRau3ZIyJDksSJcS2fZmM+mQRnyZvIrFJLd66pg/dmiXEOyxjTClnSaKYU1Wm/LaBR6cvJj0zl/tO78SwAW2pWN4K8hljos+SRDG2YfdBHpycwuzl2+jdqg5PXdCD9g1rxDssY0wZYkmiGMrLU96du4anPluKAqPOTuSq/q0pZwX5jDExZkmimFm5bT8jJiXzy+pdnNChPk+c150Wda0gnzEmPixJFBM5uXmMm5PGCzNXULVieZyLjuKCXs2spIYxJq4sSRQDizbuYfikZBZu2MuQbo0ZPbQrDWtaQT5jTPxZkoijjOxcXv56Ba/PTqNOtUq8dnkvhnRvEu+wjDHmD5Yk4mTe6p3cPymZtG0HuLB3cx46swu1q1lBPmNM8WJJIsYOZObwzOfLGP/japomVGXCdX0Z0LFBvMMyxpigLEnE0LfLt/HA5BQ27jnI1f1bc9/pnahuBfmMMcWYfUPFwO70LB77dAkT56+nXYPqfHRTf5JaW0E+Y0zxZ0kiyj5L2cTDHy9iV3oWt53Ujr+dbAX5jDElhyWJKNm6N4O/f7yI/y3aTNemtRh/XR+6NrWCfMaYksWSRISpKhPnr2fM9MVk5OQxfHBnbjyhDRWsIJ8xpgSyJBFB63am8+CUFOas2E6f1nUYe0EP2jWwgnzGmJLLkkQE5OUpE35czdOfL0OAMUO7cnm/VlaQzxhT4lmSOEKpW/cxfFIK89fs4sSODXji/O40q1013mEZY0xEWJIoouzcPP45eyUvfZVKtcrlee7/juK8o60gnzGmdLEkUQQLN+zhvonJLNm0lzN7NGHU2V1pULNyvMMyxpiIsyRRCBnZubwwcwVvzEmjbvVK/PPK3pzetXG8wzLGmKixJBGmn1ftZMSkZNK2H+DipBY8eEYXEqpVjHdYxhgTVZYkDmNfRjZP/28Z//5pDc3rVOXd6/txfIf68Q7LGGNiwpJEAWYt28rIySls2pvBdce1wXd6R6pVsl1mjCk77BsviF0HshgzfTGTf9tAh4Y1mHjzsfRuVSfeYRljTMzFrFaEiLQQkVkislhEFonInQHT7xURFZH63nsRkZdEJFVEkkWkV7RjVFWmJ2/klOdmM23BRu44uT3T7zjeEoQxpsyK5ZFEDnCvqv4qIjWB+SLypaouFpEWwGnAWr/5hwAdvEc/4DXvOSq27M3g4akL+WLxFro3S+DdG/rRpUmtaG3OGGNKhJglCVXdBGzyXu8TkSVAM2Ax8DxwP/Cx3yJDgQmqqsBPIlJbRJp464moWUu3cscHv5GVk8cDQzpz/fFWkM8YYyBOYxIi0ho4GpgrIkOBDaq6IOBq5WbAOr/36722Q5KEiAwDhgG0bNmySPG0qV+dXi3rMOqcrrSpX71I6zDGmNIo5klCRGoAk4C7cLugHsTtaioSVR0HjANISkrSoqyjdf3qjL+ub1FDMMaYUiumfSoiUhE3QbynqpOBdkAbYIGIrAaaA7+KSGNgA9DCb/HmXpsxxpgYieXZTQK8CSxR1ecAVDVFVRuqamtVbY3bpdRLVTcD04CrvLOcjgH2RGM8whhjTGix7G46DrgSSBGR3722B1V1Roj5ZwBnAKlAOnBt1CM0xhhziFie3fQdUGAdbe9oIv+1ArdFOSxjjDEFsPM8jTHGhGRJwhhjTEiWJIwxxoRkScIYY0xI4o4Plw4isg1YU8TF6wPbIxhOSWf741C2P/5k++JQpWF/tFLVBsEmlKokcSREZJ6qJsU7juLC9sehbH/8yfbFoUr7/rDuJmOMMSFZkjDGGBOSJYk/jYt3AMWM7Y9D2f74k+2LQ5Xq/WFjEsYYY0KyIwljjDEhWZIwxhgTUplNEiJyt4gsEpGFIvK+iFQRkTYiMldEUkXkQxGpFO84Y0FE7vT2wyIRuctrqysiX4rICu+5TpzDjBoReUtEtorIQr+2oJ/fK13/kvc7kiwiveIXeXSE2B8Xeb8feSKSFDD/A97+WCYip8c+4ugKsT+eEZGl3u/AFBGp7TetVO2PMpkkRKQZcAeQpKrdgPLAJcBTwPOq2h7YBVwfvyhjQ0S6ATcCfYGjgLNEpD0wAvhKVTsAX3nvS6t3gMEBbaE+/xCgg/cYBrwWoxhj6R3+uj8WAucD3/o3ikgi7t9OV2+ZV0WkfAxijKV3+Ov++BLopqo9gOXAA1A690eZTBKeCkBVEakAVMO9d/bJwERv+njg3PiEFlNdgLmqmq6qOcBs3C+Dobj7AEr5vlDVb4GdAc2hPv9QYIK6fgJqi0iTmAQaI8H2h6ouUdVlQWYfCnygqpmqugr3/i+l6l7AIfbHF97fC8BPuHfOhFK4P8pkklDVDYADrMVNDnuA+cBuvx/8eqBZfCKMqYXACSJST0Sq4d7oqQXQyO9OgJuBRvEKME5Cff5mwDq/+crK70kotj/gOuAz73Wp2x9lMkl4/ctDce+v3RSozl8PJ8sEVV2C2832BfA/4HcgN2AeBcrsudJl/fOb0ERkJJADvBfvWKKlTCYJ4BRglapuU9VsYDLu7VVre91P4B4+bohXgLGkqm+qam9VHYA7FrMc2JLfjeI9b41njHEQ6vNvwD3Syldmfk9CKLP7Q0SuAc4CLtc/LzgrdfujrCaJtcAxIlJNRAQYBCwGZgEXevNcDXwcp/hiSkQaes8tcccj/gNMw90HUIb2hZ9Qn38acJV3ltMxwB6/bqmyaBpwiYhUFpE2uAP6P8c5pqgTkcHA/cA5qpruN6n07Q9VLZMPYDSwFLdP/t9AZaAt7g80FfgIqBzvOGO0L+bgJskFwCCvrR7uWT0rgJlA3XjHGcXP/z7u2FQ2bh/y9aE+P+592l8BVgIpuGfIxf0zxGB/nOe9zgS2AJ/7zT/S2x/LgCHxjj9G+yMVd+zhd+/xemndH1aWwxhjTEhltbvJGGNMGCxJGGOMCcmShDHGmJAsSRhjjAnJkoQxxpiQKhx+FmPiyxH5G/AScLRP9fc4hxMzjlsY7iugM1Abt0YQQAJwABjtU/2yEOsbDVwMdPKpSmSjNaWVHUmYkuAaIA+3Rk6Z4VPN9akOxC2XstmnOtB7HI1bRuVTR6RPIdb3CDA2OtGa0sqShCnWHJGjgH24/1Ff5pSRe3yE4SWgIn9WCDAmKqy7yRR31wJv417teipuYcaPHJF/AlcCu4GpPtVbHZHuwBu43TP/8Kk+5IgkAM8A/XDrUpUDHvOpfgHgiLyKW/kW3HsCXAb0BHb4VHs6bn2eYbhXGlfGrQh7j091dX6AjnvDmVdx63+lAYuAut56fweG+FQPOiJdgGeBBkA6bvXhe32qK4qwX/KTZZYjchluiYijgDY+1dWOyC3AnYTRteSI3AjcgNuFVRX3SvK/+1Q3e9MjGbcpYexIwhRbjkhF4Bzce3xMwf1yuhbAp3oTbo2p3T7VW722FOB14GUvQQjwKVAfSPK6bu7D7aY5xlvmVtybyjQEGvtUz8ZNEnu8MK4BxvhUT/KpHoubAD52RPz/dt4EOgFdfaonefFeCPzudQ8ddNwigXOAr3yqfXyqJ+LewGeOI1KrkPulEjAG90v9XZ/qf4C7/Ofxqb5GGF1Ljkhv4DncRHYycCKQiJtoiWTcpmSyJGGKs3OAWT7VAz7Vg8CHwGmOe2dBcI8aujgix/stcz3ulza4hRuPA8b63Gq/+FTnAr8C9wRsqwJuTSZ8qju8L0OAa3yqn/nN9y7QA2gH4Lh38TsfeNWnut9b/htgXsD6b8M9EnnBr+1V3PtUXHHYPQGNHZFvHJFvgO+AGkB/X/AbARVGC9yjkpYAPtUs3LGf5AjFbUo4624yxdm1HPrf8Du4XT9XAU/6VOc6Iim4t1/9znFvHZnu1xWUf//p5x2RbL/11MS9h4i/Ld4XZKC6jsiTQCsgC6jitTfFLf6X6L1PDVhuFYfebKYX7j9lXzkigfPVC7LdQJu9I6FIm4E7MP6rI/IjMBV4z6eafye2I43blHCWJEyx5HVznADUCPhySsdNHk96798AnnJE7sRNFm8EWd2VPtW0w2wyN7DBEWkBfIN7Q5krfao5jkhr3C/IopxCuiNKX/QQ/KZIh/379hLjUG/c4VLgVmC0I3KB3xFUNOM2xZx1N5ni6krcAeaB/g/cEu8dHJETvPnexf3Cvg44nUPvezHfe070a8MROdMRuT2MGPriHnW87/vztraBZ1ct8p7bB7S3CXg/H2jiDXL7x3K/I3JSGLEcTv4Yiv84QYtgMwZsv7Mj0s2nusSn+negI+7A9S3eLNGO2xRzliRMcXUFMCFI+3jc20XmD2Dvwh0ofhyYnj/24Pkad9D1QUekJoAjUh94GveL8HAW4R5h+N/a9lL/GXyqK4FJwK2OSA1vGwOA7gHregX37Kox3oA6jkhf3C/jZI7cCmAvMNBbd13cM8EO5xjcI4fyfm0V+DP5RTtuU8zZ/SRMseJ9uX2Ce4bRTz7VQQHTvwH64B49/OhTHeR9Kc/GPd1zecD8tXDv4T0I98YxAM/5VD/2pj8N/B/QGPeK5hd9qlP8lr8c+DtuN9ca3JtUjcS9QdOTPtUPvf+yX8MdJF8O/IL7X3wjn+qpfuvqBDi4Rx0bgYPACJ/qwhD7ItgV1x96Zy4Fm/9C4AncW62u8GJ1vH1zP3Am3hXXfm27gUdw76B2APdIZA4w3KeaWZS4TeliScKYI+Qdnezyqeb6tX0JpHmn6hpTYll3kzFHzsE948p94157cALuRYDGlGh2JGHMEXJELgDuxR0rEdx/vp70qU6Pa2DGRIAlCWOMMSFZd5MxxpiQLEkYY4wJyZKEMcaYkCxJGGOMCcmShDHGmJD+H22MHjFkwwfoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])\n",
    "y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])\n",
    "\n",
    "font1 = {'family':'serif','color':'blue','size':20}\n",
    "font2 = {'family':'serif','color':'darkred','size':15}\n",
    "\n",
    "plt.title(\"Sports Watch Data\", fontdict = font1)\n",
    "plt.xlabel(\"Average Pulse\", fontdict = font2)\n",
    "plt.ylabel(\"Calorie Burnage\", fontdict = font2)\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcfe396b",
   "metadata": {},
   "source": [
    "# 定位标题\n",
    "使用 title() 中的 loc 参数来定位标题。\n",
    "\n",
    "合法值是：“left”、“right”和“center”。 默认值为“center”。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "addb7215",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])\n",
    "y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])\n",
    "\n",
    "plt.title(\"Sports Watch Data\", loc = 'left')\n",
    "plt.xlabel(\"Average Pulse\")\n",
    "plt.ylabel(\"Calorie Burnage\")\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
